Big Data Privacy Preservation for Cyber-Physical Systems

This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptogr...

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Detaylı Bibliyografya
Asıl Yazarlar: Pan, Miao (Yazar), Wang, Jingyi (Yazar), Errapotu, Sai Mounika (Yazar), Zhang, Xinyue (Yazar), Ding, Jiahao (Yazar), Han, Zhu (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:SpringerBriefs in Electrical and Computer Engineering,
Konular:
Wireless communication systems.
Mobile communication systems.
Data protection.
Telecommunication.
Wireless and Mobile Communication.
Data and Information Security.
Communications Engineering, Networks.
Online Erişim:Full-text access
İçindekiler:
  • Chapter 1 Cyber-Physical Systems
  • Chapter 2 Preliminaries
  • Chapter 3 Spectrum Trading with Secondary Users' Privacy Protection
  • Chapter 4 Optimization for Utility Providers with Privacy Preservation of Users' Energy Profile
  • Chapter 5 Caching with Users' Differential Privacy Preservation in Information-Centric Networks
  • Chapter 6 Clock Auction Inspired Privacy Preservation in Colocation Data Centers.

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